How different is SSIS from Informatica?

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How different is SSIS from Informatica?

But SSIS is a different ETL tool….Differences between Informatica and SSIS(SQL Server Integration Services )

Informatica SSIS Description
Source Qualifier Source Adapter The component used to fetch data for the transformation pipeline.
Target Destination Adapter Target is the place where the data is loaded into

Is ETL and SSIS same?

ETL stands for Extract, Transform and Load. These are three database functions that are combined into one tool to extract data from a database, modify it, and place it into another database. SSIS is part of the Microsoft SQL Server data software, used for many data migration tasks.

What is difference between ETL and Informatica?

For managing databases, ETL means three different functions, i.e. Extract, Transform, Load. ETL becomes a combined programming tool for obtaining temporary data subsets for reports, as well as more permanent data for other purposes. Whereas Informatica is an ETL tool, used for loading data and export functions.

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Is SSIS used for ETL?

MicrosoftSQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing.

Is SQL necessary for Informatica?

For starting with Informatica you should have a thorough working knowledge of SQL, especially functions, joins, sub-queries, etc. Knowledge of PL/SQL is also recommended, but not mandatory. Informatica online training at Intellipaat is designed to understand the ETL tool.

What database does Informatica use?

PowerCenter Repository Service

Database Information Description
PowerCenter repository database type Database type for the PowerCenter repository. The PowerCenter repository supports IBM DB2 UDB, Microsoft SQL Server, Oracle, or Sybase ASE.

What is the disadvantages of SSIS?

SSIS memory usage is high and it conflicts with SQL. In case of CPU allocation it also a problematic case when you have more packages to run parallel. You need to ensure that processer allocation between SQL and SSIS is done properly otherwise SQL have upper hand in it and due to that SSIS run very slow.

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Why is SSIS so slow?

Assuming the package executes on the same server as the target/source database, it can still be slow as the Data Flow Task is an in-memory engine. Meaning, all of the data that is going to flow from the source to the destination will get into memory. The more memory SSIS can get, the faster it’s going to go.

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